26 citations · 31 across the 5 of their papers we have counts for
5 papers
Identifying Gene-environment interactions with robust marginal Bayesian variable selection
Xi Lu, Kun Fan, Jie Ren +1
In high-throughput genetics studies, an important aim is to identify gene-environment interactions associated with the clinical outcomes. Recently, multiple marginal penalization m…
Robust Bayesian variable selection for gene-environment interactions
Jie Ren, Fei Zhou, Xiaoxi Li +3
Gene-environment (GE) interactions have important implications to elucidate the etiology of complex diseases beyond the main genetic and environmental effects. Outliers and…
Gene-Environment Interaction: A Variable Selection Perspective
Fei Zhou, Jie Ren, Xi Lu +2
Gene-environment interactions have important implications to elucidate the genetic basis of complex diseases beyond the joint function of multiple genetic factors and their interac…
Identifying viruses from metagenomic data by deep learning
Jie Ren, Kai Song, Chao Deng +5
The recent development of metagenomic sequencing makes it possible to sequence microbial genomes including viruses in an environmental sample. Identifying viral sequences from meta…
Alignment-Free Sequence Analysis and Applications
Jie Ren, Xin Bai, Yang Young Lu +4
Genome and metagenome comparisons based on large amounts of next-generation sequencing (NGS) data pose significant challenges for alignment-based approaches due to the huge data si…